Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …

Beyond novel view synthesis, Neural Radiance Fields are useful for applications that
interact with the real world. In this paper, we use them as an implicit map of a given scene …

Pose refinement is an interesting and practically relevant research direction. Pose
refinement can be used to (1) obtain a more accurate pose estimate from an initial prior (eg …

Abstract We present DeepPilot4Pose, a compact convolutional neural network for visual
pose estimation that runs onboard novel smart camera, the OAK-D. We aim at using it for …

Visual localization techniques rely upon some underlying scene representation to localize
against. These representations can be explicit such as 3D SFM map or implicit, such as a …

Abstract 3D Gaussian Splatting (3DGS) has emerged as a promising representation for
scene reconstruction and novel view synthesis for its explicit representation and real‐time …

Camera relocalization methods range from dense image alignment to direct camera pose
regression from a query image. Among these, sparse feature matching stands out as an …

Visual localization, which estimates a camera's pose within a known scene, is a long-
standing challenge in vision and robotics. Recent end-to-end methods that directly regress …

Autonomous systems are being increasingly used throughout the globe as a means for
exploration, navigation, inspection, and automatic scene perception. Mobile robots, ie, the …

Although various visual localization approaches exist, such as scene coordinate and pose
regression, these methods often struggle with high memory consumption or extensive …